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Academic Research Integrity Investigations Must be Independent, Fair, and Timely.

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The scientific community faces a reproducibility crisis partly due to data manipulation. We propose independent investigations for significant research integrity violations to ensure accountability and public trust.

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Area of Science:

  • Scientific integrity
  • Research ethics
  • Data manipulation

Background:

  • The scientific enterprise is experiencing a reproducibility crisis.
  • Data manipulation, ranging from minor to severe, contributes to this crisis.
  • Current institution-led investigations into research misconduct are flawed due to conflicts of interest.

Purpose of the Study:

  • To address the flaws in current research integrity investigation models.
  • To propose a new model for handling substantial research integrity violations.
  • To restore public trust in the scientific enterprise.

Main Methods:

  • Analysis of existing research integrity investigation processes.
  • Identification of conflicts of interest in institution-led investigations.
  • Proposal of an independent investigation model for significant violations.

Main Results:

  • Institution-led investigations suffer from secrecy, lethargy, and limited technical analysis.
  • Lack of openness, accountability, and proportional consequences erode public trust.
  • Current models create conflicts of interest, potentially harming institutional reputation and finances.

Conclusions:

  • Research integrity violations of substantial scale require independent investigation by specialists.
  • Investigations should be timely (ideally under one year) and their results made public.
  • An independent model promotes accountability, timely corrective action, and public trust.